Outliers results
Table
| gpcm |
500 |
100 |
57 |
lambda[46,1] |
4.921348 |
1.725904 |
6.647252 |
3.612507 |
9.715062 |
1.001361 |
| gpcm |
500 |
100 |
41 |
lambda[12,1] |
3.911789 |
2.745166 |
6.656956 |
2.993125 |
9.799180 |
1.000298 |
| gpcm |
500 |
100 |
15 |
lambda[15,1] |
3.766674 |
2.151905 |
5.918579 |
2.899782 |
9.486690 |
1.004218 |
| gpcm |
1000 |
100 |
35 |
lambda[40,1] |
3.480027 |
2.684788 |
6.164816 |
3.526278 |
9.382282 |
1.019008 |
| gpcm |
500 |
100 |
42 |
lambda[69,1] |
3.472997 |
2.361081 |
5.834078 |
3.188929 |
9.322959 |
1.000706 |
| gpcm |
500 |
100 |
97 |
lambda[52,1] |
3.366532 |
2.859308 |
6.225841 |
2.733812 |
9.695244 |
1.004224 |
| gpcm |
500 |
100 |
24 |
lambda[70,1] |
3.342659 |
1.966015 |
5.308674 |
2.598532 |
9.310118 |
1.003031 |
| gpcm |
1000 |
50 |
1 |
lambda[50,1] |
3.196216 |
2.562102 |
5.758318 |
2.964826 |
9.476823 |
1.001942 |
| gpcm |
500 |
100 |
71 |
lambda[48,1] |
3.152478 |
2.602722 |
5.755200 |
2.759152 |
9.497803 |
1.003768 |
| gpcm |
500 |
100 |
11 |
lambda[93,1] |
2.996082 |
2.341545 |
5.337628 |
2.912748 |
8.830072 |
1.021634 |
trace plot
gpcm_500_100_57
| 1.726 |
6.647 |
4.921 |
1.665 |
1.001 |
| Lag 0 |
1.000 |
| Lag 1 |
0.259 |
| Lag 5 |
0.156 |
| Lag 10 |
0.108 |
| Lag 50 |
0.075 |
gpcm_500_100_11
| 2.342 |
5.338 |
2.996 |
1.531 |
1.022 |
| Lag 0 |
1.000 |
| Lag 1 |
0.202 |
| Lag 5 |
0.170 |
| Lag 10 |
0.149 |
| Lag 50 |
0.076 |
gpcm_500_100_41
| 2.745 |
6.657 |
3.912 |
1.999 |
1 |
| Lag 0 |
1.000 |
| Lag 1 |
0.316 |
| Lag 5 |
0.071 |
| Lag 10 |
0.010 |
| Lag 50 |
0.020 |
gpcm_500_100_15
| 2.152 |
5.919 |
3.767 |
1.795 |
1.004 |
| Lag 0 |
1.000 |
| Lag 1 |
0.085 |
| Lag 5 |
0.119 |
| Lag 10 |
0.086 |
| Lag 50 |
0.046 |
gpcm_1000_100_35
| 2.685 |
6.165 |
3.48 |
1.554 |
1.019 |
| Lag 0 |
1.000 |
| Lag 1 |
0.174 |
| Lag 5 |
0.168 |
| Lag 10 |
0.163 |
| Lag 50 |
0.081 |
gpcm_500_100_42
| 2.361 |
5.834 |
3.473 |
1.58 |
1.001 |
| Lag 0 |
1.000 |
| Lag 1 |
0.141 |
| Lag 5 |
0.173 |
| Lag 10 |
0.141 |
| Lag 50 |
0.048 |
gpcm_500_100_97
| 2.859 |
6.226 |
3.367 |
1.949 |
1.004 |
| Lag 0 |
1.000 |
| Lag 1 |
0.391 |
| Lag 5 |
0.122 |
| Lag 10 |
0.039 |
| Lag 50 |
0.005 |
gpcm_500_100_24
| 1.966 |
5.309 |
3.343 |
1.731 |
1.003 |
| Lag 0 |
1.000 |
| Lag 1 |
0.134 |
| Lag 5 |
0.089 |
| Lag 10 |
0.068 |
| Lag 50 |
0.027 |
gpcm_1000_50_1
| 2.562 |
5.758 |
3.196 |
1.778 |
1.002 |
| Lag 0 |
1.000 |
| Lag 1 |
0.175 |
| Lag 5 |
0.063 |
| Lag 10 |
0.041 |
| Lag 50 |
0.026 |
gpcm_500_100_71
| 2.603 |
5.755 |
3.152 |
1.818 |
1.004 |
| Lag 0 |
1.000 |
| Lag 1 |
0.082 |
| Lag 5 |
0.069 |
| Lag 10 |
0.067 |
| Lag 50 |
0.017 |
Unbiased results
Table
| gpcm |
1000 |
100 |
88 |
lambda[57,1] |
0.0938374 |
1.2776387 |
1.3714761 |
1.0039976 |
1.8176737 |
1.002881 |
| grm |
1000 |
50 |
71 |
lambda[46,1] |
-0.0033918 |
0.7678773 |
0.7644855 |
0.5311187 |
1.0656267 |
1.014564 |
| gpcm |
500 |
100 |
45 |
lambda[41,1] |
-0.0900515 |
0.9829870 |
0.8929355 |
0.5239229 |
1.4199747 |
1.064479 |
| 2pl |
1000 |
50 |
36 |
lambda[15,1] |
0.0430695 |
0.6119683 |
0.6550378 |
0.4144519 |
0.9643817 |
1.016144 |
| gpcm |
1000 |
200 |
12 |
lambda[152,1] |
-0.0354187 |
1.2831126 |
1.2476939 |
0.8843463 |
1.6984069 |
1.009009 |
| gpcm |
1000 |
200 |
77 |
lambda[28,1] |
-0.0956677 |
0.9733509 |
0.8776832 |
0.6394298 |
1.1922845 |
1.005279 |
| 2pl |
2000 |
100 |
28 |
lambda[12,1] |
-0.0612277 |
1.2272304 |
1.1660026 |
0.9038279 |
1.4581469 |
1.011741 |
| 2pl |
1000 |
200 |
69 |
lambda[49,1] |
0.0621948 |
1.2602879 |
1.3224827 |
0.9111547 |
1.8717214 |
1.053729 |
| gpcm |
1000 |
200 |
13 |
lambda[180,1] |
0.0610680 |
1.2259784 |
1.2870464 |
0.9217020 |
1.7545299 |
1.064194 |
| gpcm |
1000 |
100 |
39 |
lambda[34,1] |
-0.0070091 |
1.1978679 |
1.1908588 |
0.8623005 |
1.6099362 |
1.012965 |
trace plot
gpcm_1000_100_88
| 1.278 |
1.371 |
0.094 |
0.211 |
1.003 |
| Lag 0 |
1.000 |
| Lag 1 |
0.291 |
| Lag 5 |
0.367 |
| Lag 10 |
0.338 |
| Lag 50 |
0.168 |
gpcm_1000_100_39
| 1.198 |
1.191 |
-0.007 |
0.191 |
1.013 |
| Lag 0 |
1.000 |
| Lag 1 |
0.307 |
| Lag 5 |
0.390 |
| Lag 10 |
0.395 |
| Lag 50 |
0.192 |
grm_1000_50_71
| 0.768 |
0.764 |
-0.003 |
0.135 |
1.015 |
| Lag 0 |
1.000 |
| Lag 1 |
0.364 |
| Lag 5 |
0.415 |
| Lag 10 |
0.392 |
| Lag 50 |
0.214 |
gpcm_500_100_45
| 0.983 |
0.893 |
-0.09 |
0.231 |
1.064 |
| Lag 0 |
1.000 |
| Lag 1 |
0.612 |
| Lag 5 |
0.543 |
| Lag 10 |
0.536 |
| Lag 50 |
0.415 |
2pl_1000_50_36
| 0.612 |
0.655 |
0.043 |
0.142 |
1.016 |
| Lag 0 |
1.000 |
| Lag 1 |
0.273 |
| Lag 5 |
0.379 |
| Lag 10 |
0.351 |
| Lag 50 |
0.169 |
gpcm_1000_200_12
| 1.283 |
1.248 |
-0.035 |
0.207 |
1.009 |
| Lag 0 |
1.000 |
| Lag 1 |
0.260 |
| Lag 5 |
0.388 |
| Lag 10 |
0.376 |
| Lag 50 |
0.263 |
gpcm_1000_200_77
| 0.973 |
0.878 |
-0.096 |
0.14 |
1.005 |
| Lag 0 |
1.000 |
| Lag 1 |
0.407 |
| Lag 5 |
0.493 |
| Lag 10 |
0.466 |
| Lag 50 |
0.286 |
2pl_2000_100_28
| 1.227 |
1.166 |
-0.061 |
0.14 |
1.012 |
| Lag 0 |
1.000 |
| Lag 1 |
0.402 |
| Lag 5 |
0.422 |
| Lag 10 |
0.400 |
| Lag 50 |
0.246 |
2pl_1000_200_69
| 1.26 |
1.322 |
0.062 |
0.246 |
1.054 |
| Lag 0 |
1.000 |
| Lag 1 |
0.403 |
| Lag 5 |
0.503 |
| Lag 10 |
0.490 |
| Lag 50 |
0.317 |
gpcm_1000_200_13
| 1.226 |
1.287 |
0.061 |
0.211 |
1.064 |
| Lag 0 |
1.000 |
| Lag 1 |
0.220 |
| Lag 5 |
0.359 |
| Lag 10 |
0.340 |
| Lag 50 |
0.232 |